Machine Learning

Papers filed under cs.LG on arXiv, each one already summarized by Paperlayer. Open any of them to read the summary beside the original PDF, with every point linked to the line, figure, or table it came from.

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13,981 to 14,040 of 20,454

Improved Variational Autoencoders for Text Modeling using Dilated Convolutions
Zichao Yang, Zhiting Hu, Ruslan Salakhutdinov +1
cs.NEcs.CLcs.LGarXiv:1702.08139v22017
Generalized Sliced Wasserstein Distances
Soheil Kolouri, Kimia Nadjahi, Umut Simsekli +2
cs.LGstat.MLarXiv:1902.00434v12019
CommanderSong: A Systematic Approach for Practical Adversarial Voice Recognition
Xuejing Yuan, Yuxuan Chen, Yue Zhao +7
cs.CRcs.LGcs.SDarXiv:1801.08535v32018
Few-shot Video-to-Video Synthesis
Ting-Chun Wang, Ming-Yu Liu, Andrew Tao +3
cs.CVcs.GRcs.LGarXiv:1910.12713v12019
Model Complexity of Deep Learning: A Survey
Xia Hu, Lingyang Chu, Jian Pei +2
cs.LGcs.AIarXiv:2103.05127v22021
A Deep Hierarchical Approach to Lifelong Learning in Minecraft
Chen Tessler, Shahar Givony, Tom Zahavy +2
cs.AIcs.LGarXiv:1604.07255v32016
Algorithms for multi-armed bandit problems
Volodymyr Kuleshov, Doina Precup
cs.AIcs.LGarXiv:1402.6028v12014
Fairness Invariants: A Relational Approach to Explaining and Mitigating Fairness Bugs
Ranit Debnath Akash, Ashish Kumar, Gang Tan +1
cs.SEcs.AIcs.LGarXiv:2608.26209v12026
Multi-Objective De Novo Drug Design with Conditional Graph Generative Model
Yibo Li, Liangren Zhang, Zhenming Liu
q-bio.QMcs.LGarXiv:1801.07299v32018
Decoupling Representation Learning from Reinforcement Learning
Adam Stooke, Kimin Lee, Pieter Abbeel +1
cs.LGcs.AIcs.CVarXiv:2009.08319v32020
DCdetector: Dual Attention Contrastive Representation Learning for Time Series Anomaly Detection
Yiyuan Yang, Chaoli Zhang, Tian Zhou +2
cs.LGcs.AIarXiv:2306.10347v22023
Super-Samples from Kernel Herding
Yutian Chen, Max Welling, Alex Smola
cs.LGstat.MLarXiv:1203.3472v12012
Adaptive Fourier Neural Operators: Efficient Token Mixers for Transformers
John Guibas, Morteza Mardani, Zongyi Li +3
cs.CVcs.LGarXiv:2111.13587v22021
Self-Supervised Learning with Data Augmentations Provably Isolates Content from Style
Julius von Kügelgen, Yash Sharma, Luigi Gresele +4
stat.MLcs.AIcs.CVarXiv:2106.04619v42021
D$^2$: Decentralized Training over Decentralized Data
Hanlin Tang, Xiangru Lian, Ming Yan +2
cs.DCcs.LGstat.MLarXiv:1803.07068v22018
NeuronFuzz: Safety Neuron Guided Fuzzing for LLM Safety Evaluation
Zhiyuan Xu, Muhammad Firhard Roslan, Joseph Gardiner +2
cs.LGcs.AIcs.CRarXiv:2608.26222v12026
Attention Mechanism in Neural Networks: Where it Comes and Where it Goes
Derya Soydaner
cs.LGarXiv:2204.13154v12022
Towards Understanding the Role of Over-Parametrization in Generalization of Neural Networks
Behnam Neyshabur, Zhiyuan Li, Srinadh Bhojanapalli +2
cs.LGstat.MLarXiv:1805.12076v12018
Robustness of classifiers: from adversarial to random noise
Alhussein Fawzi, Seyed-Mohsen Moosavi-Dezfooli, Pascal Frossard
cs.LGcs.CVstat.MLarXiv:1608.08967v12016
Privacy Without Regret: Differentially Private Inference-Time Alignment
Ishi Jain, Nandini Bhattad, Sayak Ray Chowdhury
cs.LGarXiv:2608.26324v12026
A Cookbook of Self-Supervised Learning
Randall Balestriero, Mark Ibrahim, Vlad Sobal +16
cs.LGcs.CVarXiv:2304.12210v22023
Explain Images with Multimodal Recurrent Neural Networks
Junhua Mao, Wei Xu, Yi Yang +2
cs.CVcs.CLcs.LGarXiv:1410.1090v12014
EPOpt: Learning Robust Neural Network Policies Using Model Ensembles
Aravind Rajeswaran, Sarvjeet Ghotra, Balaraman Ravindran +1
cs.LGcs.AIcs.ROarXiv:1610.01283v42016
Understanding Attention and Generalization in Graph Neural Networks
Boris Knyazev, Graham W. Taylor, Mohamed R. Amer
cs.LGcs.AIstat.MLarXiv:1905.02850v32019
TensorFlow Distributions
Joshua V. Dillon, Ian Langmore, Dustin Tran +7
cs.LGcs.AIcs.PLarXiv:1711.10604v12017
GNNGuard: Defending Graph Neural Networks against Adversarial Attacks
Xiang Zhang, Marinka Zitnik
cs.LGstat.MLarXiv:2006.08149v32020
Whitening for Self-Supervised Representation Learning
Aleksandr Ermolov, Aliaksandr Siarohin, Enver Sangineto +1
cs.LGcs.CVstat.MLarXiv:2007.06346v52020
Improving zero-shot learning by mitigating the hubness problem
Georgiana Dinu, Angeliki Lazaridou, Marco Baroni
cs.CLcs.LGarXiv:1412.6568v32014
Very Deep VAEs Generalize Autoregressive Models and Can Outperform Them on Images
Rewon Child
cs.LGcs.CVarXiv:2011.10650v22020
Levenshtein Transformer
Jiatao Gu, Changhan Wang, Jake Zhao
cs.CLcs.LGarXiv:1905.11006v22019
Global optimization of dielectric metasurfaces using a physics-driven neural network
Jiaqi Jiang, Jonathan A. Fan
cs.LGphysics.comp-phphysics.opticsarXiv:1906.04157v22019
Federated Multi-Task Learning under a Mixture of Distributions
Othmane Marfoq, Giovanni Neglia, Aurélien Bellet +2
cs.LGcs.AImath.OCarXiv:2108.10252v42021
Shared Actors Need Not Share Critics: Effects of Value Mismatch in Parallel Reinforcement Learning
Zhenya Liu, Yang Meng, Zhuokai Zhao +2
cs.LGarXiv:2608.26481v12026
Multiaccuracy: Black-Box Post-Processing for Fairness in Classification
Michael P. Kim, Amirata Ghorbani, James Zou
cs.LGstat.MLarXiv:1805.12317v22018
Perception Prioritized Training of Diffusion Models
Jooyoung Choi, Jungbeom Lee, Chaehun Shin +3
cs.CVcs.LGarXiv:2204.00227v12022
Sparse Sinkhorn Attention
Yi Tay, Dara Bahri, Liu Yang +2
cs.LGcs.CLarXiv:2002.11296v12020
AI and Memory Wall
Amir Gholami, Zhewei Yao, Sehoon Kim +3
cs.LGcs.ARcs.DCarXiv:2403.14123v12024
Diffusion Self-Guidance for Controllable Image Generation
Dave Epstein, Allan Jabri, Ben Poole +2
cs.CVcs.LGstat.MLarXiv:2306.00986v32023
A Statistical Perspective on Algorithmic Leveraging
Ping Ma, Michael W. Mahoney, Bin Yu
stat.MEcs.LGstat.MLarXiv:1306.5362v12013
Fast Patch-based Style Transfer of Arbitrary Style
Tian Qi Chen, Mark Schmidt
cs.CVcs.GRcs.LGarXiv:1612.04337v12016
Randomized Ensembled Double Q-Learning: Learning Fast Without a Model
Xinyue Chen, Che Wang, Zijian Zhou +1
cs.LGcs.AIarXiv:2101.05982v22021
Speech Enhancement and Dereverberation with Diffusion-based Generative Models
Julius Richter, Simon Welker, Jean-Marie Lemercier +2
eess.AScs.LGcs.SDarXiv:2208.05830v32022
A Review of Deep Learning with Special Emphasis on Architectures, Applications and Recent Trends
Saptarshi Sengupta, Sanchita Basak, Pallabi Saikia +5
cs.LGstat.MLarXiv:1905.13294v32019
Data Augmentation using Random Image Cropping and Patching for Deep CNNs
Ryo Takahashi, Takashi Matsubara, Kuniaki Uehara
cs.CVcs.LGarXiv:1811.09030v22018
A Real-World WebAgent with Planning, Long Context Understanding, and Program Synthesis
Izzeddin Gur, Hiroki Furuta, Austin Huang +4
cs.LGcs.AIcs.CLarXiv:2307.12856v42023
NaturalSpeech 2: Latent Diffusion Models are Natural and Zero-Shot Speech and Singing Synthesizers
Kai Shen, Zeqian Ju, Xu Tan +6
eess.AScs.AIcs.CLarXiv:2304.09116v32023
Transfer Learning for EEG-Based Brain-Computer Interfaces: A Review of Progress Made Since 2016
Dongrui Wu, Yifan Xu, Bao-Liang Lu
cs.HCcs.LGeess.SParXiv:2004.06286v42020
Time-lagged autoencoders: Deep learning of slow collective variables for molecular kinetics
Christoph Wehmeyer, Frank Noé
stat.MLcs.LGphysics.bio-pharXiv:1710.11239v12017
Prompt Sensitivity of Generative Agents: Evidence from an Epidemic Model
Ross Williams, Niyousha Hosseinichimeh
physics.soc-phcs.AIcs.LGarXiv:2608.26221v12026
Universal Source-Free Domain Adaptation
Jogendra Nath Kundu, Naveen Venkat, Rahul M +1
cs.CVcs.LGarXiv:2004.04393v12020
Estimating Uncertainty and Interpretability in Deep Learning for Coronavirus (COVID-19) Detection
Biraja Ghoshal, Allan Tucker
eess.IVcs.CVcs.LGarXiv:2003.10769v22020
Federated Learning over Wireless Networks: Convergence Analysis and Resource Allocation
Canh T. Dinh, Nguyen H. Tran, Minh N. H. Nguyen +4
cs.LGcs.DCcs.NIarXiv:1910.13067v42019
Tying Word Vectors and Word Classifiers: A Loss Framework for Language Modeling
Hakan Inan, Khashayar Khosravi, Richard Socher
cs.LGcs.CLstat.MLarXiv:1611.01462v32016
Malicious URL Detection using Machine Learning: A Survey
Doyen Sahoo, Chenghao Liu, Steven C. H. Hoi
cs.LGcs.CRarXiv:1701.07179v32017
Blockwise Parallel Decoding for Deep Autoregressive Models
Mitchell Stern, Noam Shazeer, Jakob Uszkoreit
cs.LGcs.CLstat.MLarXiv:1811.03115v12018
Analogical Inference for Multi-Relational Embeddings
Hanxiao Liu, Yuexin Wu, Yiming Yang
cs.LGcs.AIcs.CLarXiv:1705.02426v22017
Gemma Scope: Open Sparse Autoencoders Everywhere All At Once on Gemma 2
Tom Lieberum, Senthooran Rajamanoharan, Arthur Conmy +7
cs.LGcs.AIcs.CLarXiv:2408.05147v22024
Provable Guarantees for Self-Supervised Deep Learning with Spectral Contrastive Loss
Jeff Z. HaoChen, Colin Wei, Adrien Gaidon +1
cs.LGstat.MLarXiv:2106.04156v72021
D'ya like DAGs? A Survey on Structure Learning and Causal Discovery
Matthew J. Vowels, Necati Cihan Camgoz, Richard Bowden
cs.LGstat.MEstat.MLarXiv:2103.02582v22021
Towards Understanding Knowledge Distillation
Mary Phuong, Christoph H. Lampert
cs.LGstat.MLarXiv:2105.13093v12021

Machine Learning

Improved Variational Autoencoders for Text Modeling using Dilated Convolutions

Generalized Sliced Wasserstein Distances

CommanderSong: A Systematic Approach for Practical Adversarial Voice Recognition

Few-shot Video-to-Video Synthesis

Model Complexity of Deep Learning: A Survey

A Deep Hierarchical Approach to Lifelong Learning in Minecraft

Algorithms for multi-armed bandit problems

Fairness Invariants: A Relational Approach to Explaining and Mitigating Fairness Bugs

Multi-Objective De Novo Drug Design with Conditional Graph Generative Model

Decoupling Representation Learning from Reinforcement Learning

DCdetector: Dual Attention Contrastive Representation Learning for Time Series Anomaly Detection

Super-Samples from Kernel Herding

Adaptive Fourier Neural Operators: Efficient Token Mixers for Transformers

Self-Supervised Learning with Data Augmentations Provably Isolates Content from Style

D$^2$: Decentralized Training over Decentralized Data

NeuronFuzz: Safety Neuron Guided Fuzzing for LLM Safety Evaluation

Attention Mechanism in Neural Networks: Where it Comes and Where it Goes

Towards Understanding the Role of Over-Parametrization in Generalization of Neural Networks

Robustness of classifiers: from adversarial to random noise

Privacy Without Regret: Differentially Private Inference-Time Alignment

A Cookbook of Self-Supervised Learning

Explain Images with Multimodal Recurrent Neural Networks

EPOpt: Learning Robust Neural Network Policies Using Model Ensembles

Understanding Attention and Generalization in Graph Neural Networks

TensorFlow Distributions

GNNGuard: Defending Graph Neural Networks against Adversarial Attacks

Whitening for Self-Supervised Representation Learning

Improving zero-shot learning by mitigating the hubness problem

Very Deep VAEs Generalize Autoregressive Models and Can Outperform Them on Images

Levenshtein Transformer

Global optimization of dielectric metasurfaces using a physics-driven neural network

Federated Multi-Task Learning under a Mixture of Distributions

Shared Actors Need Not Share Critics: Effects of Value Mismatch in Parallel Reinforcement Learning

Multiaccuracy: Black-Box Post-Processing for Fairness in Classification

Perception Prioritized Training of Diffusion Models

Sparse Sinkhorn Attention

AI and Memory Wall

Diffusion Self-Guidance for Controllable Image Generation

A Statistical Perspective on Algorithmic Leveraging

Fast Patch-based Style Transfer of Arbitrary Style

Randomized Ensembled Double Q-Learning: Learning Fast Without a Model

Speech Enhancement and Dereverberation with Diffusion-based Generative Models

A Review of Deep Learning with Special Emphasis on Architectures, Applications and Recent Trends

Data Augmentation using Random Image Cropping and Patching for Deep CNNs

A Real-World WebAgent with Planning, Long Context Understanding, and Program Synthesis

NaturalSpeech 2: Latent Diffusion Models are Natural and Zero-Shot Speech and Singing Synthesizers

Transfer Learning for EEG-Based Brain-Computer Interfaces: A Review of Progress Made Since 2016

Time-lagged autoencoders: Deep learning of slow collective variables for molecular kinetics

Prompt Sensitivity of Generative Agents: Evidence from an Epidemic Model

Universal Source-Free Domain Adaptation

Estimating Uncertainty and Interpretability in Deep Learning for Coronavirus (COVID-19) Detection

Federated Learning over Wireless Networks: Convergence Analysis and Resource Allocation

Tying Word Vectors and Word Classifiers: A Loss Framework for Language Modeling

Malicious URL Detection using Machine Learning: A Survey

Blockwise Parallel Decoding for Deep Autoregressive Models

Analogical Inference for Multi-Relational Embeddings

Gemma Scope: Open Sparse Autoencoders Everywhere All At Once on Gemma 2

Provable Guarantees for Self-Supervised Deep Learning with Spectral Contrastive Loss

D'ya like DAGs? A Survey on Structure Learning and Causal Discovery

Towards Understanding Knowledge Distillation